FP&A In Manufacturing: The Role Of AI In Maximizing P&L Impact

Abstract

This study investigates the impact of Artificial Intelligence (AI) on Financial Planning and Analysis (FP&A) in the manufacturing industry, focusing on its ability to maximize Profit and Loss Statement (P&L) outcomes. The research is justified by the increasing operational complexity of the sector and the need to integrate advanced technologies to overcome challenges such as data fragmentation and economic volatility. The main objective was to analyze how AI can transform FP&A by promoting operational efficiency, analytical precision, and financial resilience. The methodology adopted was qualitative and exploratory, based on case studies and literature review. Results indicate that AI optimizes financial processes through automation, predictive analysis, and data integration, enabling scenario anticipation and cost reduction. Furthermore, technologies such as machine learning and IoT have revolutionized cost and revenue management, leading to significant improvements in P&L. It is concluded that AI is a strategic element for companies in the sector, redefining financial practices and positioning them competitively in the global market. Future studies may explore the practical application of AI in different industrial contexts.